黎丹妮, 张丽娥, 杨洁, 欧嵩凤, 李志颖, 冯宇梦, 邹云锋. 广西某人群尿中多环芳烃代谢物与高血压1期的关系[J]. 环境卫生学杂志, 2020, 10(6): 527-533. DOI: 10.13421/j.cnki.hjwsxzz.2020.06.002
    引用本文: 黎丹妮, 张丽娥, 杨洁, 欧嵩凤, 李志颖, 冯宇梦, 邹云锋. 广西某人群尿中多环芳烃代谢物与高血压1期的关系[J]. 环境卫生学杂志, 2020, 10(6): 527-533. DOI: 10.13421/j.cnki.hjwsxzz.2020.06.002
    LI Danni, ZHANG Lie, YANG Jie, OU Songfeng, LI Zhiying, FENG Yumeng, ZOU Yunfeng. Association between Polycyclic Aromatic Hydrocarbon Metabolites in Urine and Stage 1 Hypertension in a Population of Guangxi Zhuang Autonomous Region[J]. Journal of Environmental Hygiene, 2020, 10(6): 527-533. DOI: 10.13421/j.cnki.hjwsxzz.2020.06.002
    Citation: LI Danni, ZHANG Lie, YANG Jie, OU Songfeng, LI Zhiying, FENG Yumeng, ZOU Yunfeng. Association between Polycyclic Aromatic Hydrocarbon Metabolites in Urine and Stage 1 Hypertension in a Population of Guangxi Zhuang Autonomous Region[J]. Journal of Environmental Hygiene, 2020, 10(6): 527-533. DOI: 10.13421/j.cnki.hjwsxzz.2020.06.002

    广西某人群尿中多环芳烃代谢物与高血压1期的关系

    Association between Polycyclic Aromatic Hydrocarbon Metabolites in Urine and Stage 1 Hypertension in a Population of Guangxi Zhuang Autonomous Region

    • 摘要:
      目的 探讨人群尿中单羟基多环芳烃代谢物(OH-PAHs)水平与高血压(HBP)1期的相关性。
      方法 于2017年9月对广西河池某大型企业工人进行调查,在1 608名参与调查者中,纳入作为研究对象共计429名。对上述研究开展问卷和健康体检,并收集其尿液;采用超高效液相色谱串联质谱仪(UPLC-MS/MS)对尿液中7种OH-PAHs进行检测分析。采用独立样本t检验和卡方检验对人群基线资料进行比较;采用Mann-Whitney U检验比较HBP 1期组和血压正常组人群尿中OH-PAHs水平;采用二元Logistic回归模型分析尿中OH-PAHs水平与人群HBP 1期的关联,并利用相乘模型分析年龄、BMI、饮酒、吸烟与OH-PAHs的交互作用。
      结果 HBP 1期组和血压正常组人群在年龄、体质指数(BMI)、性别、饮酒情况方面差异具有统计学意义(P < 0.01);7种尿OH-PAHs代谢物的检出率依次为:1-羟基萘(95.80%)、2-羟基萘(95.34%)、1-羟基芘(38.93%)、2-羟基芴(22.61%)、9-羟基芴(17.95%)、3-羟基芴(16.32%)和9-羟基菲(8.16%);在调整混杂因素后,Logistic回归分析结果显示,1-羟基萘高浓度组(Q4组,≥ 0.55μg/mmol肌酐)发生HBP 1期风险是参照组(Q1组, < 0.10μg/mmol肌酐)的2.11倍(OR=2.11,95%CI:1.07~4.17,P < 0.05)。
      结论 人群尿中1-羟基萘水平升高可能是HBP 1期的危险因素。

       

      Abstract:
      Objective To investigate the association of the urinary levels of monohydroxy polycyclic aromatic hydrocarbons (OH-PAHs) metabolites with stage 1 high blood pressure (HBP) in a population.
      Methods In September 2017, a questionnaire survey was performed among the workers from a large enterprise in Hechi, Guangxi and among 1 608 workers participating in the investigation, 429 were included as subjects. A questionnaire survey and physical examination were performed for these subjects, and their urine samples were collected. Ultra-performance liquid chromatography-tandem mass spectrometry was used to measure the concentrations of 7 kinds of OH-PAHs metabolites in urine. The independent samples t-test and the chi-square test were used to compare the baseline data of the population, and the Mann-Whitney U test was used to compare the urinary levels of OH-PAHs metabolites between the stage 1 HBP group and the normal blood pressure group; a binary logistic regression model was used to analyze the association between the levels of OH-PAHs in urine and stage 1 HBP in this population, and a multiplicative model was used to analyze the interactions of age, body mass index (BMI), drinking, smoking, and OH-PAH metabolites.
      Results There were significant differences in age, BMI, gender, and drinking between the stage 1 HBP group and the normal blood pressure groups (P < 0.01). As for the 7 kinds of OH-PAH metabolites in urine, 1-hydroxynaphthalene had the highest detection rate of 95.80%, followed by 2-hydroxynaphthalene (95.34%), 1-hydroxypyrene (38.93%), 2-hydroxyfluorene (22.61%), 9-hydroxyfluorene (17.95%), 3-hydroxyfluorene (16.32%) and 9-hydroxyphenanthrene (8.16%). After adjustment for confounding factors, the logistic regression analysis showed that the risk of stage 1 HBP in the high 1-hydroxynaphthalene group (Q4 group, ≥ 0.55 μg/mmol creatinine) was 2.11 times that in the control group (Q1 group, < 0.10 μg/mmol creatinine) (odds ratio=2.11, 95% confidence interval: 1.07~4.17, P < 0.05).
      Conclusion The increase in the urinary level of 1-hydroxynaphthalene may be a risk factor for stage 1 HBP.

       

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